Lirong Yan1, Songlin Yu1, Samantha Ma1, Yeang Chng2, Salamon Noriko2, Nader Pouratian2, and Danny JJ Wang1
1Neurology, University of California Los Angeles, Los Angeles, CA, United States, 2Radiology, University of California Los Angeles, Los Angeles, CA, United States
Synopsis
A non-contrast 4-D MRA using stack-of-star golden angle
acquisition (Radial-TrueSTAR) has been recently introduced, which can accelerate
the imaging speed up to 3 fold, compared to conventional Cartesian acquisition.
Here we evaluated the clinical utility of Cartesian- and Radial-TrueSTAR in
cerebral arteriovenous malformation patients by comparison with time-of-flight
and DSA. Our preliminary data demonstrates that Radial-TrueSTAR provides shorter
scan time while preserving similar image qualities compared to
Cartesian-TrueSTAR. Compared to TOF, the heterogeneity within the nidus can be
observed using both Cartesian- and Radial-TrueSTAR. Radial-TrueSTAR may become
a promising approach with reduced scan time and patient comfort in clinical
applications.Purpose
The evaluation of dynamic flow
pattern is helpful for the diagnosis of cerebrovascular malformations. As the
gold standard, digital subtraction angiography (DSA) is invasive with exposure
of x-ray to both doctors and patients. A time-resolved non-contrast 4-D MRA
technique termed TrueSTAR was introduced recently by combining ASL with
multi-phase segmented balanced SSFP readout, providing both high spatial and
temporal resolutions
1. However, the standard TrueSTAR using Cartesian
sampling (Cartesian-TrueSTAR) remains challenging to achieve both adequate imaging
coverage and time frames within a clinically acceptable acquisition time. To
overcome the limitations, a non-contrast 4-D MRA using stack-of-stars golden
angle acquisition (Radial-TrueSTAR) has recently been introduced, which can
accelerate the imaging speed up to 3 fold while preserving the spatiotemporal resolution
2. To improve the delineation of distal arteries, a variable
flip angle (VFA) scheme
3 was also applied in both TrueSTAR acquisitions. In
the present study, we evaluated the clinical utilities of Cartesian- and
Radial-TrueSTAR in cerebrovascular malformation patients by comparison with
time-of-flight (TOF) and DSA.
Methods
Seven patients with intracranial arteriovenous
malformation (AVM) (43.6±11.4 years, 4 males) were enrolled in this study. Four
patients had history of embolization treatment and 3 patients had radiotherapy.
All the scans were performed on Siemens Tim Trio 3T scanners using product
12-channel head coil. 4-D MRA images were acquired from each patient using both
Cartesian- and Radial-TrueSTAR with closely matched imaging parameters
including voxel size:1.1x1.1x1.5mm
3 (Cartesian) and 1x1x1.5mm
3 (Radial),
temporal resolution≈100ms, acquisition window=2.5s. 32 slices per slab
were acquired resulting in a total scan time per slab of approximate 7 and half
minutes and 3 minutes for Cartesian and radial samplings, respectively. To
fully cover the draining veins, two slabs were acquired in some AVM cases using
Radial-TrueSTAR, which took a similar scan time with the single-slab
Cartesian-TrueSTAR. DSA was performed for follow-up. TOF images were also
collected from each subject. Spetzler–Martin grading scale was evaluated with
4-D dMRA, TOF, dMRA plus TOF and DSA respectively by two neuroradiologists.
Diagnostic confidence scores for three components of AVMs (feeding artery,
nidus and draining vein) were graded from 1 (poor imaging quality with severe
artifacts and no diagnostic value) to 5 (excellent imaging quality with no
artifacts and definite diagnosis)
4. Kendall's coefficient of concordance was calculated
to evaluate the reliability between two raters within each modality (dMRA, TOF,
TOF plus dMRA). The Wilcoxon signed-rank test was applied to compare the
diagnostic confidence scores between each pair of the three modalities for each
component of an AVM, respectively.
Results and Discussion
Lesions were detected in 5/7
patients on DSA (Table 1). The delineation of AVM lesions using TrueSTAR is
consistent with that of DSA, except dMRA failed to detect one small lesion
(6mm) with low blood flow which was manifested as lightly stained on DSA. DMRA
had the same Spetzler–Martin grading scales in terms of AVM size and location
but failed to detect deep draining veins in 2 patients. The dynamic fillings of
labeled blood through feeding arteries, nidus and draining veins are clearly
visualized in AVM (Figure 1). Compared to Cartesian-TrueSTAR, Radial-TrueSTAR
offers larger spatial coverage under the similar scan time, which shows better
delineation of draining veins, as shown in Figure 1. Furthermore,
Radial-TrueSTAR performs better than Cartesian-TrueSTAR (Table 2) due to better
background suppression, although there is no statistical significance (p>0.05)
achieved due to the small sample size (4 cases). On the other hand, compared to
TOF, the heterogeneity within the nidus can be observed using both Cartesian-
and Radial-TrueSTAR (Figure 1). Therefore, although TOF depicts details of
feeding artery better, it has lower diagnostic confidence scores in terms of
nidus compared to TrueSTAR. Improved diagnostic accuracy was achieved when dMRA
and TOF MRA are combined (Table2).
Conclusion
Our preliminary
study demonstrates the feasibility of both Cartesian- and Radial-TrueSTAR for
the evaluation of hemodynamics in cerebrovascular malformations. TrueSTAR can
provide complementary temporal information to TOF and shows better depiction of
nidus than TOF. TrueSTAR combined with TOF can enhance diagnostic confidence. However,
TrueSTAR remains challenging to detect small lesions. Compared to
Cartesian-TrueSTAR, Radial-TrueSTAR provides the shorter scan time while
preserving the similar image qualities. Therefore, Radial-TrueSTAR may become a
promising approach with reduced scan time and patient comfort in clinical
applications. Further evaluations are required to determine the clinical
efficacy of Radial-TrueSTAR in a large patient population.
Acknowledgements
This work is supported by NIH grants RO1 EB014922 and RO1 NS081077.References
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